DTIC ADA096645: Sampling and Bayes’ Inference in pdf

DTIC ADA096645: Sampling and Bayes’ Inference in

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Scientific learning is an iterative process employing Criticism and Estimation. Correspondingly the formulated model factors into two complimentary parts – a predictive part allowing model criticism, and a Bayes posterior part allowing estimation. Implications for significance tests, the theory of precise measurement, and for ridge estimates are considered. Predictive checking functions for transformation, serial correlation, bad values, and their relation with Bayesian options are considered. Robustness is seen from a Bayesian viewpoint and examples are given. For the bad value problem a comparison with M estimators is made. (Author

• Creator/s: Defense Technical Information Center
• Date: 12/1/1980
• Year: 1980
• Book Topics/Themes: DTIC Archive, Box, George E P, WISCONSIN UNIV-MADISON MATHEMATICS RESEARCH CENTER, *STATISTICAL SAMPLES, *BAYES THEOREM, *LEARNING, MATHEMATICAL MODELS, PROBABILITY DISTRIBUTION FUNCTIONS, ESTIMATES, TRANSFORMATIONS(MATHEMATICS), CORRELATION TECHNIQUES, ITERATIONS

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